Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Ba...
Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh
About this item
Full title
Author / Creator
Publisher
United States: Public Library of Science
Journal title
Language
English
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Publication information
Publisher
United States: Public Library of Science
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More information
Scope and Contents
Contents
Bangladesh is facing a formidable challenge in mitigating waterborne diseases risk exacerbated by climate change. However, a comprehensive understanding of the spatio-temporal dynamics of these diseases at the district level remains elusive. Therefore, this study aimed to fill this gap by investigating the spatio-temporal pattern and identifying th...
Alternative Titles
Full title
Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_65e66cf42cc247d38b373dd0627a60e7
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_65e66cf42cc247d38b373dd0627a60e7
Other Identifiers
ISSN
1935-2735,1935-2727
E-ISSN
1935-2735
DOI
10.1371/journal.pntd.0012800
